Glioblastoma Cortical Organoids Recapitulate Cell-State Heterogeneity and Intercellular Transfer

Vamsi Mangena(Broad Institute), Rony Chanoch-Myers(Weizmann Institute of Science), Rafaela Sartore(Broad Institute), Bruna Paulsen(Broad Institute), Simon Gritsch(Broad Institute), Hannah Weisman(Broad Institute), Toshiro Hara(Broad Institute), Xandra O. Breakefield(Massachusetts General Hospital), Koen Breyne(Massachusetts General Hospital), Aviv Regev(Broad Institute), Kwanghun Chung(Cambridge–MIT Institute), Paola Arlotta(Broad Institute), Itay Tirosh(Weizmann Institute of Science), Mario L. Suvà(Broad Institute)
Cancer Discovery
October 7, 2024
Cited by 40Open Access
Full Text

Abstract

Glioblastoma (GBM) is characterized by heterogeneous malignant cells that are functionally integrated within the neuroglial microenvironment. In this study, we model this ecosystem by growing GBM into long-term cultured human cortical organoids that contain the major neuroglial cell types found in the cerebral cortex. Single-cell RNA sequencing analysis suggests that, compared with matched gliomasphere models, GBM cortical organoids more faithfully recapitulate the diversity and expression programs of malignant cell states found in patient tumors. Additionally, we observe widespread transfer of GBM transcripts and GFP to nonmalignant cells in the organoids. Mechanistically, this transfer involves extracellular vesicles and is biased toward defined GBM cell states and astroglia cell types. These results extend previous GBM organoid modeling efforts and suggest widespread intercellular transfer in the GBM neuroglial microenvironment. Significance: Models that recapitulate intercellular communications in GBM are limited. In this study, we leverage GBM cortical organoids to characterize widespread mRNA and GFP transfer from malignant to nonmalignant cells in the GBM neuroglial microenvironment. This transfer involves extracellular vesicles, may contribute to reprogramming the microenvironment, and may extend to other cancer types. See related commentary by Shakya et al., p. 261.


Related Papers

No related papers found

Powered by citation graph analysis